Triple

T23317455
Position Surface form Disambiguated ID Type / Status
Subject Amtrak Genesis E590747 entity
Predicate usedBy P260 FINISHED
Object CDOT NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: CDOT | Statement: [Amtrak Genesis, usedBy, CDOT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CDOT
Context triple: [Amtrak Genesis, usedBy, CDOT]
  • A. CDOT chosen
    CDOT is the Connecticut Department of Transportation, the state agency responsible for overseeing and operating Connecticut’s transportation infrastructure and services, including rail operations.
  • B. CDOT
    CDOT is the municipal agency responsible for planning, building, and maintaining Chicago’s transportation infrastructure, including streets, sidewalks, and traffic systems.
  • C. CDOT
    CDOT is the state agency responsible for planning, building, and maintaining Colorado’s transportation infrastructure, including highways, bridges, and transit systems.
  • D. SDOT
    SDOT is the municipal agency responsible for planning, building, and maintaining Seattle’s transportation infrastructure and services.
  • E. TDOT
    TDOT is the state agency responsible for planning, building, and maintaining Tennessee’s transportation infrastructure, including highways, bridges, and public transit systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197828c408190ae071624e40de4cc completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:06 p.m.